Data Analyst at Petco utilizing advanced analytical techniques to optimize customer behavior insights. Collaborating with teams to influence decisions, enhance retention, and improve performance.
About the role
- Data Analyst structuring data ecosystem in Operations at Matrix. Collaborating with business teams to optimize data-driven decision making in Brazil's energy sector.
Responsibilities
- Identify and document, together with Operations teams, the main processes, systems and data sources (internal and external);
- Model tables and data layers (staging, core, mart) aligned with the CoE standards;
- Develop and maintain ingestion, transformation and load processes using Python, SQL and GCP (e.g., BigQuery, Cloud Storage);
- Orchestrate pipelines with Airflow, ensuring reliability, reprocessing and monitoring;
- Automate system integrations between Operations platforms and the data warehouse/data lake;
- Create and evolve management and operational dashboards in Power BI, focusing on performance, efficiency, cost, quality and SLA metrics;
- Ensure consistency of KPI definitions in collaboration with Operations managers and the Data CoE;
- Implement data quality rules, monitoring completeness, consistency and timeliness of loads;
- Document data sources, data dictionary, indicator calculation logic and integration flows;
- Support the standardization of metrics and the use of data according to CoE guidelines;
- Act as a business partner, understanding Operations pain points and opportunities and translating them into data solutions;
- Perform exploratory and ad-hoc analyses in Python/SQL to answer business questions and validate hypotheses;
- Train key users (Operations managers and analysts) on the use of dashboards and metrics;
- Work in alignment with architects, engineers and data scientists from the CoE;
- Ensure solutions comply with corporate architecture, security and data governance standards;
- Contribute best practices, component reuse and the evolution of the data platform.
Requirements
- Bachelor's degree (completed);
- Advanced SQL and Python experience for ETL/ELT and automations;
- Experience with GCP (BigQuery, Cloud Storage, Airflow/Composer);
- Experience in data modeling and pipeline orchestration;
- Experience with Power BI (Power Query, DAX, dashboards and RLS);
- Clear communication between business and technology;
- Hands-on, analytical and delivery-oriented profile;
- Organized, documentation-focused and collaborative work style;
- Proactive in proposing improvements and data solutions;
- Experience with large volumes of data and multiple sources is desirable;
- Good data engineering practices;
- Experience with AI/LLMs applied to data;
- Desirable knowledge of statistics and a data-driven mindset;
- Experience working close to operational areas is a plus.
Benefits
- High-quality health coverage with Omint: access to a top-tier national medical and dental network through Omint;
- Alelo Pod card for flexible spending on meal and food allowances, accepted at major restaurant and supermarket chains;
- Flexible and sustainable working hours;
- Mobility options: choose the modality that makes sense for you—commuter voucher, fuel allowance or parking;
- Total Pass: an online platform dedicated to promoting quality of life, health and well-being, offering access to gyms, studios and online services with exclusive Matrix discounts, covering you and up to 3 dependents;
- Group life insurance;
- Profit Sharing (PLR), subject to goals and performance;
- Work with a fantastic team in a collaborative environment that aims to build a brighter, more sustainable future.
Job title
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Degree requirement
Tech skills
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